Oleksiy Melnyk, Svitlana Onyshchenko, Iryna Savieleva, Kostyantin Koryakin, Aditya Rio Prabowo, Martin Jurkovič, Vyacheslav Sapiha
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引用次数: 0
Abstract
The article examines the assessment of the reliability of shipboard radio navigation systems under the influence of degradation factors, with a focus on the impact of both gradual and sudden failures on the continuity of navigation equipment. A classification of failures is presented, environmental and operational factors affecting the efficiency of systems are identified, and the risk of failure is quantified using mathematical modelling. A combined approach to reliability assessment is proposed, which takes into account the probability of failures due to ageing (gradual failures) and external influences (sudden failures), based on an exponential distribution model. An analysis of the mean time between failures (MTBF) of key radio navigation systems was carried out, the probability of failure of at least one element during an operational period of up to 350 days was estimated, and a conceptual model for optimising maintenance was formed. Methodologically, the study is based on the development of a two-factor model that combines the assessment of gradual and sudden failures of shipboard radio navigation systems. To quantify the intensity of failures, an exponential distribution law is used with the integration of correction factors that take into account the influence of the environment and the human factor. The MTBF is calculated taking into account both types of failures, which ensures the complexity of the assessment. The results are supported by tables, graphs and theoretical generalisations that form a reliable basis for improving the fault tolerance of modern marine navigation systems.
期刊介绍:
IET Intelligent Transport Systems is an interdisciplinary journal devoted to research into the practical applications of ITS and infrastructures. The scope of the journal includes the following:
Sustainable traffic solutions
Deployments with enabling technologies
Pervasive monitoring
Applications; demonstrations and evaluation
Economic and behavioural analyses of ITS services and scenario
Data Integration and analytics
Information collection and processing; image processing applications in ITS
ITS aspects of electric vehicles
Autonomous vehicles; connected vehicle systems;
In-vehicle ITS, safety and vulnerable road user aspects
Mobility as a service systems
Traffic management and control
Public transport systems technologies
Fleet and public transport logistics
Emergency and incident management
Demand management and electronic payment systems
Traffic related air pollution management
Policy and institutional issues
Interoperability, standards and architectures
Funding scenarios
Enforcement
Human machine interaction
Education, training and outreach
Current Special Issue Call for papers:
Intelligent Transportation Systems in Smart Cities for Sustainable Environment - https://digital-library.theiet.org/files/IET_ITS_CFP_ITSSCSE.pdf
Sustainably Intelligent Mobility (SIM) - https://digital-library.theiet.org/files/IET_ITS_CFP_SIM.pdf
Traffic Theory and Modelling in the Era of Artificial Intelligence and Big Data (in collaboration with World Congress for Transport Research, WCTR 2019) - https://digital-library.theiet.org/files/IET_ITS_CFP_WCTR.pdf